A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms

arXiv:2406.14753v1 Announce Type: new
Abstract: We devise a control-theoretic reinforcement learning approach to support direct learning of the optimal policy. We establish theoretical properties of our approach and derive an algorithm based on a specific instance of this approach. Our empirical results demonstrate the significant benefits of our approach.



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